Probability Density Function Calculating probabilities for continuous random variables requires a different approach from the methods used with discrete variables. If all the outcomes of a continuous ...

Traditional asymptotic analysis techniques fail for lognormal random variables (RV) because a lognormal probability density function cannot be quantified by Taylor series at the origin, and the moment ...

All of statistics and much of science depends on probability—an astonishing achievement, considering no one’s really sure what it is ...

Key Points NORMSINV is an Excel function used along with normal distributions. It allows you to conduct calculations faster ...

Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric ...

The two functions are also related mathematically — you can obtain the cumulative distribution function of a random variable by integrating its probability density function.

Placing a prefix for the distribution function changes it's behavior in the following ways: dxxx (x,) returns the density or the value on the y-axis of a probability distribution for a discrete value ...

For continuous data, you generally need access to a probability density function (PDF) or cumulative density function (CDF) that defines the distribution of your data.